backend/utils/validators.py

import pandas as pd

class DataValidator:
    def validate_dataframe(self, df: pd.DataFrame, target_column: str):
        if df.empty:
            raise ValueError("Uploaded dataset is empty.")

        if target_column not in df.columns:
            raise ValueError(f"Target column '{target_column}' not found in dataset.")

        if df.shape[1] < 2:
            raise ValueError("Dataset must have at least 2 columns.")

        return True